๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ญ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฎ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ญ๐ฌ-๐ฎ๐ฑ ๐๐ฃ๐)
Experience: 6+ yrs
Location: Remote (India)
We are looking for an experiencedย Senior QA Automation Engineerย with strong expertise in API automation, backend validation, and test automation frameworks. The ideal candidate will have hands-on experience with theย Karate API Automation Framework, GitHub Actions, CI/CD pipelines, and AWS, along with a solid understanding of manual and automated testing practices.
This role focuses on building reliable, reusable automation solutions, validating backend data, and ensuring the quality of complex system integrations, including IoT data flows. The successful candidate will collaborate with engineering and customer teams to deliver high-quality, scalable, and dependable software solutions.
Requirements
Key Responsibilities
- Design, develop, and maintain automated API test suites using theย Karate API Automation Framework.
- Perform both manual and automated testing to validate application functionality, reliability, and integration behaviour.
- Build reusable automation scripts and common testing components to improve efficiency and maintainability.
- Manage end-to-end automation across API and UI layers wherever required.
- Integrate automated test suites withย GitHub Actions and CI/CD pipelinesย to support continuous testing and reliable releases.
- Execute API testing using tools such asย Postman, Bruno, and Rest Assured.
- Perform backend data validation acrossย Amazon DynamoDB and Amazon Redshiftย to ensure data accuracy and consistency.
- Write and execute SQL queries to validate data, investigate discrepancies, and support test analysis.
- Validate system integrations, data exchanges, andย IoT data flowsย across connected systems.
- Collaborate with engineering, business, and customer teams to understand requirements and translate them into test scenarios.
- Document test plans, test cases, automation scripts, defects, and execution results.
- Identify, investigate, and report defects, perform root-cause analysis, and coordinate resolution with development teams.
- Follow establishedย Software Development Life Cycle (SDLC)ย andย Software Testing Life Cycle (STLC)practices.
- Support regression testing, integration testing, release validation, and continuous quality improvement.
- Maintain test-management records and traceability using tools such as Xray, where applicable.
- Contribute to improving test coverage, automation standards, and overall quality assurance practices.
What Makes You a Great Fit
- 6+ years of experienceย in quality assurance, software testing, and test automation.
- Strong hands-on experience with theย Karate API Automation Framework.
- Proven experience in both manual testing and automation testing.
- Strong understanding of API testing, REST services, HTTP methods, status codes, request/response validation, and authentication.
- Practical experience withย GitHub, GitHub Actions, and CI/CD automation workflows.
- Working knowledge ofย AWS services, particularly DynamoDB and data-validation workflows involving Redshift.
- Experience with SQL queries and backend data validation.
- Familiarity with Postman, Bruno, or Rest Assured for API testing.
- Understanding of end-to-end testing, integration testing, regression testing, and reusable automation design.
- Experience validating system integrations and IoT-related data flows is highly desirable.
- Familiarity with Xray Test Management is an advantage.
- Strong understanding of SDLC, STLC, defect management, and quality assurance best practices.
- Excellent analytical, troubleshooting, and problem-solving skills.
- Strong communication and collaboration skills, with the ability to work effectively with distributed teams.
- Ability to independently manage testing deliverables, prioritise tasks, and maintain high standards of quality and documentation.